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Senior Machine Learning Engineer/ Data Scientist Job Opening In Berkeley – Now Hiring Eluvio


Job description

Eluvio is a highly focused and ambitious team of systems, networking, application, and video software engineers, AI scientists, ML engineers, and security experts working together to implement the vision of the Content Fabric - a decentralized platform for video and commerce with the ambition of serving the world's Internet video.

The Eluvio Content Fabric provides an innovative distributed and decentralized video processing framework with just-in-time and personalized experiences, made possible through our state-of-the-art real-time content routing and just-in-time code execution.

We are headquartered in Berkeley, CA. 

Job duties:

  • Research on AI/ML models for Eluvio Content Fabric, focusing on video content understanding.
  • Developing AI/ML models for extracting information from video/audio content.
  • Leads development of advanced models and oversees integration into production environments (end-to-end deployment).
  • Optimizes models for performance and ensures seamless integration with blockchain-verified metadata systems.
  • Provide mentorship and technical guidance to interns and junior engineers.
  • Takes a leadership role in team discussions, setting technical direction, and ensuring alignment with business goals.
  • Regularly engages with clients, attends business meetings, and drives customer-focused strategy.
  • Active participation in business strategy discussions and decision-making processes.
  • May telecommute.
  • Rate of pay: $128,398 to $132,000 per year

Requirements

    • Master’s degree in Data Science, Statistics, or related field
    • 2 years of experience in machine learning engineering or data science, with a specialization in video and media data analysis.
    • Experience in deployment of machine learning models in production environments, particularly in media-focused applications.
    • Container management tools, including Podman, for efficient deployment and orchestration of applications in containerized environments.
    • API design and implementation for model inference services, ensuring scalable, reliable, and efficient integration of machine learning models into production systems.
    • Python, R, JavaScript, and Bash.
    • Experience with system programming languages including C++, Go, and Rust.
    • Machine learning and deep learning algorithms (e.g., CNNs, Transformer models, GANs, clustering, sequence models) and frameworks/libraries (e.g., PyTorch, Scikit-learn).
    • CockroachDB and Firebase DB, with experience in their application for managing and processing large-scale media datasets.
    • Collaborating effectively within interdisciplinary teams, managing priorities, and delivering high-quality results in a fast-paced environment.
    • Distributed systems, including their architecture, operational challenges, and performance optimization strategies.
    • Designing, developing, and deploying production-grade software and machine learning models, specifically within the media domain.

Benefits

Eluvio employees have salaries comensurate with experience as well as medical, dental, and vision insurance.
May telecommute – Machine Learning – Full time

Required Skill Profession

Mathematical Science Occupations


  • Job Details

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Eluvio adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying United States laws and regulations

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Interview Tips for Senior Machine Learning Engineer/ Data Scientist Job Success

Eluvio interview tips for Senior Machine Learning Engineer/ Data Scientist

Here are some tips to help you prepare for and ace your Senior Machine Learning Engineer/ Data Scientist job interview:

Before the Interview:

Research: Learn about the Eluvio's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

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During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

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Final Thought:

To prepare for your Senior Machine Learning Engineer/ Data Scientist interview at Eluvio, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Eluvio's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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